Neural expert system for evaluation of professional suitability

• Autorzy: Lamakin A. Y. , Loginow B. M.
• Języki publikacji: EN

Abstrakty

EN

A design of a neural expert system for assessment of professional suitability is presented. The system utilises neural networks with two layers and sigmoid activation function. The back propagation algorithm is used for network training.

Słowa kluczowe

EN

neural expert system; professional suitability

PL

neuronowy system ekspertowy; przydatność zawodowa

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2000
• Tom: Vol. 8, nr 2
• Strony: 131--136
• Opis fizyczny: Bibliogr. 4 poz.

Twórcy

autor

Lamakin A. Y.

• Kaluga Branch of Moscow State, Technical University, ul. Bajenova 4, 248600, Kaluga, Russia

autor

Loginow B. M.

• Kaluga Branch of Moscow State, Technical University, ul. Bajenova 4, 248600, Kaluga, Russia

Bibliografia

• [1] The use of „back propagation” algorithm for a solution of practical problems. http://www.NeuralBench.com.
• [2] F. Uoserman, Neurocomputer engineering: The theory and practice, Moscow, Mir, 1985, p.44.
• [3] B. Widrow and M. A. Lehr, 30 years of adaptive neural networks: perceptron, madaline, and backpropagation, Proceedings of the IEEE, 1990, Vol.78, No 9, pp.1415-1422.
• [4] G. G. Malineski and A. B. Potapov, Channels and goker's: about new methods of the prognosis of a behavior of complicated systems. V All-Russia conference „Neurocompute and their application”, Moscow, Radio i Svyaz, 1999, pp.234-243.